eprintid: 1494
rev_number: 8
eprint_status: archive
userid: 6
dir: disk0/00/00/14/94
datestamp: 2013-02-28 12:15:01
lastmod: 2013-02-28 12:15:01
status_changed: 2013-02-28 12:15:01
type: book_section
metadata_visibility: show
creators_name: Dell’Agnello, Danilo
creators_name: Fanelli, Anna
creators_name: Mencar, Corrado
creators_name: Minervini, Massimo
creators_id: 
creators_id: 
creators_id: 
creators_id: massimo.minervini@imtlucca.it
title: Serendipitous Fuzzy Item Recommendation with ProfileMatcher
ispublished: pub
subjects: QA75
divisions: CSA
full_text_status: none
note: Proceedings of the 9th International Workshop, WILF 2011, Trani, Italy, August 29-31,2011
abstract: In this paper an approach to serendipitous item recommendation is outlined. The model used for this task is an extension of ProfileMatcher, which is based on fuzzy metadata describing both user and items to be recommended. To address the task of recommending serendipitous resources, a priori knowledge on the relations occurring among metadata values is injected in the recommendation process. This is achieved using fuzzy graphs to model similarity relations among the elements of the fuzzy sets describing the metadata. An experimentation has been carried out on the MovieLens data set to show the impact of serendipity injection in the item recommendation process.
date: 2011
date_type: published
series: Lecture Notes in Computer Science
number: 6857
publisher: Springer
pagerange: 220-227
id_number: 10.1007/978-3-642-23713-3_28
refereed: TRUE
isbn:  978-3-642-23712-6
book_title: Fuzzy Logic and Applications
official_url: http://dx.doi.org/10.1007/978-3-642-23713-3_28
citation:   Dell’Agnello, Danilo and Fanelli, Anna and Mencar, Corrado and Minervini, Massimo  Serendipitous Fuzzy Item Recommendation with ProfileMatcher.   In:  Fuzzy Logic and Applications.   Lecture Notes in Computer Science  (6857).  Springer, pp. 220-227.  ISBN  978-3-642-23712-6      (2011)